A planar homography estimation method for camera calibration

More and more calibration methods are proposed based on planar homography. However, result accuracy of intrinsic parameters depends closely on homography estimation, which may be sensitive to noise. In this paper, a planar homography estimation method is introduced for camera calibration. It exploits both total least-squares method and multi-view constraints in order to increase the computational accuracy of this algorithm. Applying this technique to camera calibration will provide reliability and robustness in the presence of noise. Simulations and experiments with real images validate this method.